{"id":392,"date":"2017-04-23T02:33:00","date_gmt":"2017-04-22T18:33:00","guid":{"rendered":"https:\/\/www.next-bioinfo.tw\/?p=392"},"modified":"2024-03-12T02:36:13","modified_gmt":"2024-03-11T18:36:13","slug":"%e3%80%90ngs-%e6%ac%a1%e4%b8%96%e4%bb%a3%e5%9f%ba%e5%9b%a0%e9%ab%94%e8%b3%87%e6%96%99%e7%a7%91%e5%ad%b8%e3%80%91t-sne%e7%b0%a1%e4%bb%8b","status":"publish","type":"post","link":"https:\/\/www.next-bioinfo.tw\/en\/2017\/04\/%e3%80%90ngs-%e6%ac%a1%e4%b8%96%e4%bb%a3%e5%9f%ba%e5%9b%a0%e9%ab%94%e8%b3%87%e6%96%99%e7%a7%91%e5%ad%b8%e3%80%91t-sne%e7%b0%a1%e4%bb%8b\/","title":{"rendered":"\u3010NGS \u6b21\u4e16\u4ee3\u57fa\u56e0\u9ad4\u8cc7\u6599\u79d1\u5b78\u3011t-SNE\u7c21\u4ecb"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_54_1 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\" role=\"button\"><label for=\"item-6a6d40deabc5a\" ><span class=\"\"><span style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input aria-label=\"Toggle\" type=\"checkbox\"  id=\"item-6a6d40deabc5a\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.next-bioinfo.tw\/en\/2017\/04\/%e3%80%90ngs-%e6%ac%a1%e4%b8%96%e4%bb%a3%e5%9f%ba%e5%9b%a0%e9%ab%94%e8%b3%87%e6%96%99%e7%a7%91%e5%ad%b8%e3%80%91t-sne%e7%b0%a1%e4%bb%8b\/#%E4%BD%95%E8%AC%82_t-SNE\" title=\"\u4f55\u8b02 t-SNE\">\u4f55\u8b02 t-SNE<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.next-bioinfo.tw\/en\/2017\/04\/%e3%80%90ngs-%e6%ac%a1%e4%b8%96%e4%bb%a3%e5%9f%ba%e5%9b%a0%e9%ab%94%e8%b3%87%e6%96%99%e7%a7%91%e5%ad%b8%e3%80%91t-sne%e7%b0%a1%e4%bb%8b\/#t-SNE_%E5%AF%A6%E4%BD%9C\" title=\"t-SNE \u5be6\u4f5c\">t-SNE \u5be6\u4f5c<\/a><\/li><\/ul><\/nav><\/div>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%E4%BD%95%E8%AC%82_t-SNE\"><\/span>\u4f55\u8b02 t-SNE<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>t-SNE \u662f\u4e00\u7a2e\u975e\u7dda\u6027\u964d\u7dad\u6280\u8853\u3002\u5b83\u6703\u5c07\u5728\u9ad8\u7dad\u7a7a\u9593\u4e2d\u76f8\u4f3c\u7684\u8cc7\u6599\u9ede\u5728\u4f4e\u7dad\u7a7a\u9593\u4e2d\u653e\u5728\u4e00\u8d77\uff0c\u5f9e\u800c\u5c07\u8cc7\u6599\u5f9e\u9ad8\u7dad\u5ea6\u6620\u5c04\u5230\u4f4e\u7dad\u4e26\u4fdd\u7559\u8cc7\u6599\u5206\u4f48\u7684\u5c40\u90e8\u7279\u6027\u3002<\/p>\n\n\n\n<p>t-SNE\u7528\u6a5f\u7387\u5206\u4f48\u4f86\u63cf\u8ff0\u4e00\u500b\u8cc7\u6599\u9ede\u8ddf\u5176\u5b83\u9ede\u7684\u9130\u8fd1\u7684\u6a5f\u7387\u662f\u591a\u5c11\uff0c\u4e26\u4e14\u5b83\u4ee5\u6700\u5c0f\u5316\u9ad8\u7dad\u8cc7\u6599\u548c\u4f4e\u7dad\u5ea6\u8cc7\u6599\u7684\u6a5f\u7387\u5206\u4f48\u7684\u5dee\u8ddd\uff08\u8861\u91cf\u9ad8\u7dad\u548c\u4f4e\u7dad\u7a7a\u9593\u7684\u8cc7\u6599\u5206\u4f48\u7684\u5dee\u8ddd\u7684\u65b9\u5f0f\u70baKL divergence\uff0c\u800c\u6700\u4f73\u5316\u7684\u6f14\u7b97\u6cd5\u70ba\u68af\u5ea6\u4e0b\u964d\u6cd5\uff09\u4f86\u9054\u6210\u964d\u7dad\u3002<\/p>\n\n\n\n<p><img decoding=\"async\" width=\"253\" height=\"529\" src=\"https:\/\/lh7-us.googleusercontent.com\/cYXu-suL2gOxwtFWgXKs4RPiTrpbeivfPxu3mhNzFMjV4DdqgcOtnq9z7aiPq6HBEHLMm935gHA0LmB-T0FHs6283G0mUoBkqpoFa2XfapDxL-l-eIJZXN4WqVUmFm1ncYRpU2cYd0TaeIYnnCyMz4I\"><\/p>\n\n\n\n<p>\u7531\u65bc\u5c0d\u9ad8\u7dad\u7a7a\u9593\u4e2d\u8f03\u4e0d\u76f8\u4f3c\u7684\u8cc7\u6599\uff0c\u5728\u4f4e\u7dad\u7a7a\u9593\u7684\u6620\u5c04\u6703\u6bd4\u539f\u672c\u7684\u66f4\u9060\uff0c\u800c\u6bd4\u8f03\u70ba\u76f8\u4f3c\u7684\u8cc7\u6599\uff0c\u5247\u662f\u6703\u8b8a\u5f97\u6bd4\u539f\u672c\u7684\u9084\u8981\u66f4\u8fd1\u3002\u56e0\u6b64\u5c0d\u65bc\u5df2\u77e5\u5206\u7fa4\u7684\u8cc7\u6599\uff0c\u82e5\u4f7f\u7528t-SNE\u62ff\u4f86\u4f5c\u70ba\u8cc7\u6599QC\u7684\u7528\u9014\uff0c\u5728\u8996\u89ba\u5316\u5448\u73fe\u4e0a\u6703\u66f4\u6e05\u695a\uff0c\u5b83\u53ef\u4ee5\u5f88\u597d\u7684\u89e3\u6c7a\u964d\u7dad\u4e4b\u5f8c\u8cc7\u6599\u9ede\u6df7\u758a\u5728\u4e00\u8d77\u7684\u554f\u984c\u3002<\/p>\n\n\n\n<p>\u4e0d\u904e\u4e5f\u6b63\u56e0\u70ba\u5982\u6b64\uff0c\u4e0d\u592a\u80fd\u62fft-SNE\u5f8c\u7684\u8ddd\u96e2\u53bb\u7b97\u7fa4\u843d\u4e4b\u9593\u7684\u95dc\u4fc2\u3002\u4f46\u4e00\u822c\u800c\u8a00\uff0c\u62fft-SNE\u5f8c\u7684\u8cc7\u6599\u4f86\u5224\u65b7\u5c40\u90e8\u7684\u8cc7\u6599\u9ede\u662f\u5426\u5c6c\u65bc\u67d0\u7fa4\u843d(cluster)\u5247\u662f\u53ef\u4ee5\u7684\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"t-SNE_%E5%AF%A6%E4%BD%9C\"><\/span>t-SNE \u5be6\u4f5c<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>\u9019\u88e1\u7528Python\u642d\u914dMNIST\u6578\u64da\u96c6\u4f5c\u70ba\u793a\u7bc4\uff0c\u9996\u5148\u6211\u5011\u628a\u793a\u7bc4\u7528\u8cc7\u6599\uff08https:\/\/pjreddie.com\/projects\/mnist-in-csv\/#google_vignette\uff09\u4e0b\u8f09\u56de\u4f86\uff1a<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro cbp-has-line-numbers\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:.875rem;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;--cbp-line-number-color:#d8dee9ff;--cbp-line-number-width:8.4375px;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span style=\"display:flex;align-items:center;padding:10px 0px 10px 16px;margin-bottom:-2px;width:100%;text-align:left;background-color:#39404f;color:#c8d0e0\">ShellScript<\/span><span role=\"button\" tabindex=\"0\" data-code=\" wget https:\/\/pjreddie.com\/media\/files\/mnist_train.csv\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewbox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">wget<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #A3BE8C\">https:\/\/pjreddie.com\/media\/files\/mnist_train.csv<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p>\u7a0d\u5fae\u4e00\u4e0b\u8cc7\u6599\u683c\u5f0f<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro cbp-has-line-numbers\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:.875rem;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;--cbp-line-number-color:#d8dee9ff;--cbp-line-number-width:8.4375px;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span style=\"display:flex;align-items:center;padding:10px 0px 10px 16px;margin-bottom:-2px;width:100%;text-align:left;background-color:#39404f;color:#c8d0e0\">ShellScript<\/span><span role=\"button\" tabindex=\"0\" data-code=\"head mnist_train.csv -n 1\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewbox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #88C0D0\">head<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #A3BE8C\">mnist_train.csv<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #A3BE8C\">-n<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #B48EAD\">1<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p>\u8f38\u51fa\u5982\u4e0b\uff1acsv\u7684\u6bcf\u7b46\u8cc7\u6599\u7684\u7b2c\u4e00\u500b\u503c\u662flabel\uff0c\u5f8c\u9762\u5247\u662f\u6bcf\u500b\u50cf\u7d20\u7684\u4eae\u5ea6(0-255)<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro cbp-has-line-numbers\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:.875rem;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;--cbp-line-number-color:#d8dee9ff;--cbp-line-number-width:8.4375px;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span role=\"button\" tabindex=\"0\" data-code=\"5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,18,18,18,126,136,175,26,166,255,247,127,0,0,0,0,0,0,0,0,0,0,0,0,30,36,94,154,170,253,253,253,253,253,225,172,253,242,195,64,0,0,0,0,0,0,0,0,0,0,0,49,238,253,253,253,253,253,253,253,253,251,93,82,82,56,39,0,0,0,0,0,0,0,0,0,0,0,0,18,219,253,253,253,253,253,198,182,247,241,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,80,156,107,253,253,205,11,0,43,154,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,14,1,154,253,90,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,139,253,190,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11,190,253,70,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,35,241,225,160,108,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,81,240,253,253,119,25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,45,186,253,253,150,27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,16,93,252,253,187,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,249,253,249,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,46,130,183,253,253,207,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,39,148,229,253,253,253,250,182,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,114,221,253,253,253,253,201,78,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23,66,213,253,253,253,253,198,81,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,18,171,219,253,253,253,253,195,80,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,55,172,226,253,253,253,253,244,133,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,136,253,253,253,212,135,132,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewbox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #88C0D0\">5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,18,18,18,126,136,175,26,166,255,247,127,0,0,0,0,0,0,0,0,0,0,0,0,30,36,94,154,170,253,253,253,253,253,225,172,253,242,195,64,0,0,0,0,0,0,0,0,0,0,0,49,238,253,253,253,253,253,253,253,253,251,93,82,82,56,39,0,0,0,0,0,0,0,0,0,0,0,0,18,219,253,253,253,253,253,198,182,247,241,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,80,156,107,253,253,205,11,0,43,154,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,14,1,154,253,90,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,139,253,190,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11,190,253,70,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,35,241,225,160,108,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,81,240,253,253,119,25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,45,186,253,253,150,27,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,16,93,252,253,187,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,249,253,249,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,46,130,183,253,253,207,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,39,148,229,253,253,253,250,182,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,114,221,253,253,253,253,201,78,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,23,66,213,253,253,253,253,198,81,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,18,171,219,253,253,253,253,195,80,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,55,172,226,253,253,253,253,244,133,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,136,253,253,253,212,135,132,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p>\u7528sklean\u4f86\u8dd1\uff1a<\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro cbp-has-line-numbers\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:.875rem;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;--cbp-line-number-color:#d8dee9ff;--cbp-line-number-width:16.859375px;line-height:1.25rem;--cbp-tab-width:2;tab-size:var(--cbp-tab-width, 2)\"><span style=\"display:flex;align-items:center;padding:10px 0px 10px 16px;margin-bottom:-2px;width:100%;text-align:left;background-color:#39404f;color:#c8d0e0\">Python<\/span><span role=\"button\" tabindex=\"0\" data-code=\"import matplotlib.pyplot as pltimport  matplotlib.colors as colorsimport pandas as pdfrom argparse import ArgumentParserimport numpy as npfrom sklearn.manifold import TSNEfrom sklearn.pipeline import Pipelinefrom sklearn.preprocessing import StandardScalerdata = pd.read_csv('mnist_train.csv',header=None)label_col=0label_types = list(set(data.loc[:,label_col]))label_types_numbers=len(label_types)label_to_color =   {0:'red',                    1:'darksalmon',                    2:'orange',                    3:'mediumseagreen',                    4:'darkviolet',                    5:'forestgreen',                    6:'maroon',                    7:'blue',                    8:'dimgrey',                    9:'lightblue',}data_labels=data.loc[:,label_col]data_colors = [label_to_color[label] for label in data_labels]X =  data.loc[:, data.columns != label_col]model=TSNE()X_reduction = model.fit_transform(X.values)X_out = pd.DataFrame(X_reduction)X_out['data_colors']=data_colorsX_out['data_labels']=data_labelsprint(X_out)X_groups=X_out.groupby('data_labels')for gname,gdf in X_groups:    print(gdf)    plt.scatter(gdf.loc[:,0],gdf.loc[:,1],color=label_to_color[gname],label=str(gname),s=1.3)plt.legend()plt.show()\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewbox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> matplotlib<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">pyplot <\/span><span style=\"color: #81A1C1\">as<\/span><span style=\"color: #D8DEE9FF\"> plt<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\">  matplotlib<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">colors <\/span><span style=\"color: #81A1C1\">as<\/span><span style=\"color: #D8DEE9FF\"> colors<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> pandas <\/span><span style=\"color: #81A1C1\">as<\/span><span style=\"color: #D8DEE9FF\"> pd<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">from<\/span><span style=\"color: #D8DEE9FF\"> argparse <\/span><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> ArgumentParser<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> numpy <\/span><span style=\"color: #81A1C1\">as<\/span><span style=\"color: #D8DEE9FF\"> np<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">from<\/span><span style=\"color: #D8DEE9FF\"> sklearn<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">manifold <\/span><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> TSNE<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">from<\/span><span style=\"color: #D8DEE9FF\"> sklearn<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">pipeline <\/span><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> Pipeline<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">from<\/span><span style=\"color: #D8DEE9FF\"> sklearn<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">preprocessing <\/span><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> StandardScaler<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">data <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> pd<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">read_csv<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">mnist_train.csv<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9\">header<\/span><span style=\"color: #81A1C1\">=None<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">label_col<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #B48EAD\">0<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">label_types <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #88C0D0\">list<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #88C0D0\">set<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">data<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">loc<\/span><span style=\"color: #ECEFF4\">[:,<\/span><span style=\"color: #D8DEE9FF\">label_col<\/span><span style=\"color: #ECEFF4\">]))<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">label_types_numbers<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #88C0D0\">len<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">label_types<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">label_to_color <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\">   <\/span><span style=\"color: #ECEFF4\">{<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">:<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">red<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">:<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">darksalmon<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #B48EAD\">2<\/span><span style=\"color: #ECEFF4\">:<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">orange<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #B48EAD\">3<\/span><span style=\"color: #ECEFF4\">:<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">mediumseagreen<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #B48EAD\">4<\/span><span style=\"color: #ECEFF4\">:<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">darkviolet<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #B48EAD\">5<\/span><span style=\"color: #ECEFF4\">:<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">forestgreen<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #B48EAD\">6<\/span><span style=\"color: #ECEFF4\">:<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">maroon<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #B48EAD\">7<\/span><span style=\"color: #ECEFF4\">:<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">blue<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #B48EAD\">8<\/span><span style=\"color: #ECEFF4\">:<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">dimgrey<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">                    <\/span><span style=\"color: #B48EAD\">9<\/span><span style=\"color: #ECEFF4\">:<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">lightblue<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">,<\/span><\/span>\n<span class=\"line\"><span style=\"color: #ECEFF4\">}<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">data_labels<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\">data<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">loc<\/span><span style=\"color: #ECEFF4\">[:,<\/span><span style=\"color: #D8DEE9FF\">label_col<\/span><span style=\"color: #ECEFF4\">]<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">data_colors <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">label_to_color<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">label<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #D8DEE9FF\"> <\/span><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> label <\/span><span style=\"color: #81A1C1\">in<\/span><span style=\"color: #D8DEE9FF\"> data_labels<\/span><span style=\"color: #ECEFF4\">]<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">X <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\">  data<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">loc<\/span><span style=\"color: #ECEFF4\">[:,<\/span><span style=\"color: #D8DEE9FF\"> data<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">columns <\/span><span style=\"color: #81A1C1\">!=<\/span><span style=\"color: #D8DEE9FF\"> label_col<\/span><span style=\"color: #ECEFF4\">]<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">model<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #88C0D0\">TSNE<\/span><span style=\"color: #ECEFF4\">()<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">X_reduction <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> model<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">fit_transform<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">X<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">values<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">X_out <\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\"> pd<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">DataFrame<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">X_reduction<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">X_out<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">data_colors<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\">data_colors<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">X_out<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">data_labels<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">]<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\">data_labels<\/span><\/span>\n<span class=\"line\"><span style=\"color: #88C0D0\">print<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">X_out<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">X_groups<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\">X_out<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">groupby<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #A3BE8C\">data_labels<\/span><span style=\"color: #ECEFF4\">&#39;<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #81A1C1\">for<\/span><span style=\"color: #D8DEE9FF\"> gname<\/span><span style=\"color: #ECEFF4\">,<\/span><span style=\"color: #D8DEE9FF\">gdf <\/span><span style=\"color: #81A1C1\">in<\/span><span style=\"color: #D8DEE9FF\"> X_groups<\/span><span style=\"color: #ECEFF4\">:<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    <\/span><span style=\"color: #88C0D0\">print<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">gdf<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">    plt<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">scatter<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">gdf<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">loc<\/span><span style=\"color: #ECEFF4\">[:,<\/span><span style=\"color: #B48EAD\">0<\/span><span style=\"color: #ECEFF4\">],<\/span><span style=\"color: #D8DEE9FF\">gdf<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #D8DEE9FF\">loc<\/span><span style=\"color: #ECEFF4\">[:,<\/span><span style=\"color: #B48EAD\">1<\/span><span style=\"color: #ECEFF4\">],<\/span><span style=\"color: #D8DEE9\">color<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #D8DEE9FF\">label_to_color<\/span><span style=\"color: #ECEFF4\">[<\/span><span style=\"color: #D8DEE9FF\">gname<\/span><span style=\"color: #ECEFF4\">],<\/span><span style=\"color: #D8DEE9\">label<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #88C0D0\">str<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">gname<\/span><span style=\"color: #ECEFF4\">),<\/span><span style=\"color: #D8DEE9\">s<\/span><span style=\"color: #81A1C1\">=<\/span><span style=\"color: #B48EAD\">1.3<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">plt<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">legend<\/span><span style=\"color: #ECEFF4\">()<\/span><\/span>\n<span class=\"line\"><span style=\"color: #D8DEE9FF\">plt<\/span><span style=\"color: #ECEFF4\">.<\/span><span style=\"color: #88C0D0\">show<\/span><span style=\"color: #ECEFF4\">()<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n<p>\u9019\u88e1\u6211\u5011\u628a\u6bcf\u7b46\u8cc7\u6599\u90fd\u5206\u914d\u5230\u5b83\u5c0d\u61c9\u7684\u984f\u8272\uff0c\u4e26\u8dd1\u5b8ctsne\u5f8c\u7684\u7d50\u679c<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" width=\"640\" height=\"480\" src=\"https:\/\/ml4fi34j3t2e.i.optimole.com\/w:auto\/h:auto\/q:mauto\/f:avif\/https:\/\/www.next-bioinfo.tw\/wp-content\/uploads\/2024\/03\/tsne.png\" alt=\"\" class=\"wp-image-393\" style=\"aspect-ratio:1.3333333333333333;width:539px;height:auto\"\/><\/figure>\n\n\n\n<p>\u53ef\u4ee5\u770b\u52300-9\u5341\u7a2e\u6578\u5b57\u5927\u7d04\u5206\u6210\u5341\u7fa4\uff0c\u96d6\u7136\u5927\u5340\u7684\u8272\u584a\u5167\u9084\u662f\u591a\u5c11\u6709\u4e00\u4e9b\u4e0d\u540c\u984f\u8272\u7684\u5c0f\u9ede\u3002<\/p>","protected":false},"excerpt":{"rendered":"<p>\u4f55\u8b02 t-SNE t-SNE \u662f\u4e00\u7a2e\u975e\u7dda\u6027\u964d\u7dad\u6280\u8853\u3002\u5b83\u6703\u5c07\u5728\u9ad8\u7dad\u7a7a\u9593\u4e2d\u76f8\u4f3c\u7684\u8cc7\u6599\u9ede\u5728\u4f4e\u7dad\u7a7a\u9593\u4e2d\u653e\u5728\u4e00\u8d77\uff0c\u5f9e\u800c\u5c07 [&hellip;]<\/p>","protected":false},"author":1,"featured_media":240,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","site-transparent-header":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[2],"tags":[53,52],"_links":{"self":[{"href":"https:\/\/www.next-bioinfo.tw\/en\/wp-json\/wp\/v2\/posts\/392"}],"collection":[{"href":"https:\/\/www.next-bioinfo.tw\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.next-bioinfo.tw\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.next-bioinfo.tw\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.next-bioinfo.tw\/en\/wp-json\/wp\/v2\/comments?post=392"}],"version-history":[{"count":2,"href":"https:\/\/www.next-bioinfo.tw\/en\/wp-json\/wp\/v2\/posts\/392\/revisions"}],"predecessor-version":[{"id":395,"href":"https:\/\/www.next-bioinfo.tw\/en\/wp-json\/wp\/v2\/posts\/392\/revisions\/395"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.next-bioinfo.tw\/en\/wp-json\/wp\/v2\/media\/240"}],"wp:attachment":[{"href":"https:\/\/www.next-bioinfo.tw\/en\/wp-json\/wp\/v2\/media?parent=392"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.next-bioinfo.tw\/en\/wp-json\/wp\/v2\/categories?post=392"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.next-bioinfo.tw\/en\/wp-json\/wp\/v2\/tags?post=392"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}